What is recorded here?
Offered graph-oriented message/aggregation/mutation abstractions across tensor backends, combining sparse graph handling, fusion and batching for graph neural-network workloads.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record concerns the 2019 workshop system. Implementing graph models does not invent their methods or prove arbitrary graph-model expressivity. Performance depends on the selected operators, graph structure and tensor backend.
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People and systems
Minjie Wang; Lingfan Yu; Da Zheng; Quan Gan; Yu Gai; Zihao Ye; Mufei Li; Jinjing Zhou; Qi Huang; Chao Ma; Ziyue Huang; Qipeng Guo; Hao Zhang; Haibin Lin; Junbo Zhao; Jinyang Li; Alexander Smola; Zheng Zhang
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Deep Graph Library: graph-centric message-passing execution
Offered graph-oriented message/aggregation/mutation abstractions across tensor backends, combining sparse graph handling, fusion and batching for graph neural-network workloads.
Scientific scope
The record concerns the 2019 workshop system. Implementing graph models does not invent their methods or prove arbitrary graph-model expressivity. Performance depends on the selected operators, graph structure and tensor backend.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Minjie Wang; Lingfan Yu; Da Zheng; Quan Gan; Yu Gai; Zihao Ye; Mufei Li; Jinjing Zhou; Qi Huang; Chao Ma; Ziyue Huang; Qipeng Guo; Hao Zhang; Haibin Lin; Junbo Zhao; Jinyang Li; Alexander Smola; Zheng Zhang
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.